Discretionary decision making by primary care physicians and the cost of U.S. Health care

Influences of organizational features of healthcare settings on clinical decision making: qualitative results from a cross-national factorial experiment

A proliferating literature documents cross-national variation in medical practice and seeks to explain observed differences in terms of the presence of certain kinds of healthcare systems, economic, and cultural differences between countries. Less is known about how providers themselves understand these influences and perceive them as relevant to their clinical work. Using qualitative data from a cross-national factorial experiment in the United States and United Kingdom, we analyze 244 primary care physicians' explanations of how organizational features of their respective healthcare settings influence the treatment decisions they made for a vignette patient, including affordability of care; within-system quality deficits; and constraints due to patient behavior. While many differences are attributed to financial constraints deriving from two very differently structured healthcare systems, in other ways they are reflections of cultural and historical expectations regarding medical care, or interactions between the two. Implications, including possible challenges to the implementation of universal care in the USA, are discussed.

Neighbourhood deprivation and regional inequalities in self-reported health among Canadians: are we equally at risk?

Individual-level data from the Canadian Community Health Survey was combined with area-level data from the 2001 Canada Census to explore the relationship between neighbourhood deprivation and regional inequalities in self-reported health (n=120,290). While neighbourhood deprivation was a significant predictor of fair/poor health in all geographic regions (OR=1.11; 95% CI: 1.08, 1.14), living on the Atlantic and Pacific coasts exacerbated the detrimental effects of neighbourhood deprivation on the perceived health of respondents (OR=1.21; 1.28). By failing to explore regional variations in risk, we could fail to identify areas where provincial policies may interact with neighbourhood factors to reinforce health inequalities amongst deprived communities.

Returns to physician human capital: evidence from patients randomized to physician teams

Physicians play a major role in determining the cost and quality of healthcare, yet estimates of these effects can be confounded by patient sorting. This paper considers a natural experiment where nearly 30,000 patients were randomly assigned to clinical teams from one of two academic institutions. One institution is among the top medical schools in the U.S., while the other institution is ranked lower in the distribution. Patients treated by the two programs have similar observable characteristics and have access to a single set of facilities and ancillary staff. Those treated by physicians from the higher ranked institution have 10-25% less expensive stays than patients assigned to the lower ranked institution. Health outcomes are not related to the physician team assignment. Cost differences are most pronounced for serious conditions, and they largely stem from diagnostic-testing rates: the lower ranked program tends to order more tests and takes longer to order them.

Determinants of treatment intensity for patients with serious illness: a new conceptual framework

BACKGROUND

Research during the past few decades has greatly advanced our understanding of the cost, quality, and variability of medical care at the end of life. The current health-care policy debate has focused considerable attention on the unsustainable rate of spending and wide regional variation associated with medical treatments in the last year of life. New initiatives aim to standardize quality and reduce over-utilization at the end of life. We argue, however, that focusing exclusively on medical treatment at the end of life is not likely to lead to effective health-care policy reform or reduce costs. Specifically, end-of-life policy initiatives face the challenges of political feasibility, inaccurate prognostication, and gaps in the existing literature.

OBJECTIVES

With the ultimate aim of improving the quality and efficiency of care, we propose a research and policy agenda guided by a new conceptual framework of factors associated with treatment intensity for patients with serious and complicated medical illness. This model not only expands the population of interest to include all adults with serious illness, but also provides a blueprint for the thorough investigation of the diverse and interconnected determinants of treatment intensity.

CONCLUSIONS

The new conceptual framework presented in this paper can be used to develop future research and policy initiatives designed to improve the quality and efficiency of care for adults with serious illness.

Variation in prescription use and spending for lipid-lowering and diabetes medications in the Veterans Affairs Healthcare System

OBJECTIVES

To examine variation in outpatient prescription use and spending for hyperlipidemia and diabetes mellitus in the Veterans Affairs Healthcare System (VA) and its association with quality measures for these conditions.

STUDY DESIGN

Cross-sectional.

METHODS

We compared outpatient prescription use, spending, and quality of care across 135 VA medical centers (VAMCs) in fiscal year 2008, including 2.3 million patients dispensed lipid-lowering medications and 981,031 patients dispensed diabetes medications. At each facility, we calculated VAMC-level cost per patient for these medications, the proportion of patients taking brand-name drugs, and Healthcare Effectiveness Data and Information Set (HEDIS) scores for hyperlipidemia (low-density lipoprotein cholesterol level <100 mg/dL) and for diabetes (glycosylated hemoglobin level >9% or not measured).

RESULTS

The median cost per patient for lipid-lowering agents in fiscal year 2008 was $49.60 and varied from $39.68 in the least expensive quartile of VAMCs to $69.57 in the most expensive quartile (P < .001). For diabetes agents, the median cost per patient was $158.34 and varied from $123.34 in the least expensive quartile to $198.31 in the most expensive quartile (P < .001). The proportion of patients dispensed brand-name oral drugs among these classes in the most expensive quartile of VAMCs was twice that in the least expensive quartile (P < .001). There was no correlation between VAMC-level prescription spending and performance on HEDIS measures for lipid-lowering drugs (r = 0.12 and r = 0.07) or for diabetes agents (r = -0.10).

CONCLUSIONS

Despite the existence of a closely managed formulary, significant variation in prescription spending and use of brand-name drugs exists in the VA. Although we could not explicitly risk-adjust, there appears to be no relationship between prescription spending and quality of care.

Regional variation in health care intensity and treatment practices for end-stage renal disease in older adults

CONTEXT

An increasing number of older adults are being treated for end-stage renal disease (ESRD) with long-term dialysis.

OBJECTIVES

To determine how ESRD treatment practices for older adults vary across regions with differing end-of-life intensity of care.

DESIGN, SETTING, AND PARTICIPANTS

Retrospective observational study using a national ESRD registry to identify a cohort of 41,420 adults (of white or black race), aged 65 years or older, who started long-term dialysis or received a kidney transplant between June 1, 2005, and May 31, 2006. Regional end-of-life intensity of care was defined using an index from the Dartmouth Atlas of Healthcare.

MAIN OUTCOME MEASURES

Incidence of treated ESRD (dialysis or transplant), preparedness for ESRD (under the care of a nephrologist, having a fistula [vs graft or catheter] at time of hemodialysis initiation), and end-of-life care practices.

RESULTS

Among whites, the incidence of ESRD was progressively higher in regions with greater intensity of care and this trend was most pronounced at older ages. Among blacks, a similar relationship was present only at advanced ages (men aged > or = 80 years and women aged > or = 85 years). Patients living in regions in the highest compared with lowest quintile of end-of-life intensity of care were less likely to be under the care of a nephrologist before the onset of ESRD (62.3% [95% confidence interval {CI}, 61.3%-63.3%] vs 71.1% [95% CI, 69.9%-72.2%], respectively) and less likely to have a fistula (vs graft or catheter) at the time of hemodialysis initiation (11.2% [95% CI, 10.6%-11.8%] vs 16.9% [95% CI, 15.9%-17.8%]). Among patients who died within 2 years of ESRD onset (n = 21,190), those living in regions in the highest compared with lowest quintile of end-of-life intensity of care were less likely to have discontinued dialysis before death (22.2% [95% CI, 21.1%-23.4%] vs 44.3% [95% CI, 42.5%-46.1%], respectively), less likely to have received hospice care (20.7% [95% CI, 19.5%-21.9%] vs 33.5% [95% CI, 31.7%-35.4%]), and more likely to have died in the hospital (67.8% [95% CI, 66.5%-69.1%] vs 50.3% [95% CI, 48.5%-52.1%]). These differences persisted in adjusted analyses.

CONCLUSION

There are pronounced regional differences in treatment practices for ESRD in older adults that are not explained by differences in patient characteristics.

Growth hormone and health policy

GH treatment for short children is representative of many frontline issues in health care policy. In this paper, we highlight key policy issues exemplified by GH, focusing on pharmaceutical innovation, insurance coverage and pricing, and physician decisions, and we discuss their implications for endocrinology and GH use.

Regional variations in diagnostic practices

BACKGROUND

Current methods of risk adjustment rely on diagnoses recorded in clinical and administrative records. Differences among providers in diagnostic practices could lead to bias.

METHODS

We used Medicare claims data from 1999 through 2006 to measure trends in diagnostic practices for Medicare beneficiaries. Regions were grouped into five quintiles according to the intensity of hospital and physician services that beneficiaries in the region received. We compared trends with respect to diagnoses, laboratory testing, imaging, and the assignment of Hierarchical Condition Categories (HCCs) among beneficiaries who moved to regions with a higher or lower intensity of practice.

RESULTS

Beneficiaries within each quintile who moved during the study period to regions with a higher or lower intensity of practice had similar numbers of diagnoses and similar HCC risk scores (as derived from HCC coding algorithms) before their move. The number of diagnoses and the HCC measures increased as the cohort aged, but they increased to a greater extent among beneficiaries who moved to regions with a higher intensity of practice than among those who moved to regions with the same or lower intensity of practice. For example, among beneficiaries who lived initially in regions in the lowest quintile, there was a greater increase in the average number of diagnoses among those who moved to regions in a higher quintile than among those who moved to regions within the lowest quintile (increase of 100.8%; 95% confidence interval [CI], 89.6 to 112.1; vs. increase of 61.7%; 95% CI, 55.8 to 67.4). Moving to each higher quintile of intensity was associated with an additional 5.9% increase (95% CI, 5.2 to 6.7) in HCC scores, and results were similar with respect to laboratory testing and imaging.

CONCLUSIONS

Substantial differences in diagnostic practices that are unlikely to be related to patient characteristics are observed across U.S. regions. The use of clinical or claims-based diagnoses in risk adjustment may introduce important biases in comparative-effectiveness studies, public reporting, and payment reforms.

Variation in cardiologists' propensity to test and treat: is it associated with regional variation in utilization?

BACKGROUND

Regional variation in healthcare utilization, including cardiac testing and procedures, is well documented. Some factors underlying such variation are understood, including resource supply. However, less is known about how physician behaviors and attitudes may influence variation in utilization across regions.

METHODS AND RESULTS

We performed a survey of a national sample of cardiologists using patients vignettes to ascertain physicians' self-reported propensity to test and treat patients with cardiovascular problems, computing a Cardiac Intensity Score for each physician based on his/her responses intended to measure the physician's propensity to recommend high-tech and/or invasive tests and treatments. In addition, we asked under what circumstances they would order a cardiac catheterization "for other than purely clinical reasons." For some survey items, there was substantial variation in physician responses. We found that the Cardiac Intensity Score was associated with 2 measures of population based healthcare utilization measured within geographic regions, with a stronger association with general healthcare spending than with delivery of cardiac services. Although nearly all physicians denied ordering a potentially unnecessary cardiac catheterization for financial reasons, some physicians acknowledged ordering the test for other reasons, including meeting patient and referring physician expectations, meeting peer expectations, and malpractice concerns. More than 27% of respondents reported ordering a cardiac catheterization if a colleague would in the same situation frequently or sometimes, and nearly 24% reported doing so out of fear of malpractice. These 2 factors were significantly associated with the propensity to test and treat, but only fear of malpractice was associated with regional utilization.

CONCLUSIONS

Variability in cardiologists' propensity to test and treat partly underlies regional variation in utilization of general health and cardiology services. The factor most closely associated with this propensity was fear of malpractice suits. This factor may be an appropriate target of intervention.

Variation in prostate-specific antigen screening in men aged 80 and older in fee-for-service Medicare

OBJECTIVES

To determine the rate of prostate-specific antigen (PSA) screening in men aged 80 and older in Medicare and to examine geographic variation in screening rates across the U.S.

DESIGN

Retrospective cohort study of variation across hospital referral regions using administrative data.

SETTING

National random sample in fee-for-service Medicare.

PARTICIPANTS

Medicare beneficiaries aged 80 and older in 2003.

MEASUREMENTS

Percentage of men aged 80 and older screened using the PSA test.

RESULTS

The national rate of PSA screening in men aged 80 and older was 17.2%, but there was wide variation across regions (<2-38%). Higher PSA screening in a region was positively associated with greater total costs (correlation coefficient (r)=0.49, P<.001), greater intensive care unit use at the end of life (r=0.46, P<.001), and greater number of unique physicians seen (r=0.36, P<.001). PSA screening was negatively associated with proportion of beneficiaries using a primary care physician as opposed to a medical subspecialist for the predominance of ambulatory care (r=-0.38, P<.001).

CONCLUSION

PSA screening in men aged 80 and older is common practice, although its frequency is highly variable across the United States. Its association with fragmented physician care and aggressive end-of-life care may reflect less reliance on primary care and consequent difficulty informing patients of the potential harms and low likelihood of benefit of this procedure.

Physician cost profiling--reliability and risk of misclassification

BACKGROUND

Insurance products with incentives for patients to choose physicians classified as offering lower-cost care on the basis of cost-profiling tools are increasingly common. However, no rigorous evaluation has been undertaken to determine whether these tools can accurately distinguish higher-cost physicians from lower-cost physicians.

METHODS

We aggregated claims data for the years 2004 and 2005 from four health plans in Massachusetts. We used commercial software to construct clinically homogeneous episodes of care (e.g., treatment of diabetes, heart attack, or urinary tract infection), assigned each episode to a physician, and created a summary profile of resource use (i.e., cost) for each physician on the basis of all assigned episodes. We estimated the reliability (signal-to-noise ratio) of each physician's cost-profile score on a scale of 0 to 1, with 0 indicating that all differences in physicians' cost profiles are due to a lack of precision in the measure (noise) and 1 indicating that all differences are due to real variation in costs of services (signal). We used the reliability results to estimate the proportion of physicians in each specialty whose cost performance would be classified inaccurately in a two-tiered insurance product in which the physicians with cost profiles in the lowest quartile were labeled as "lower cost."

RESULTS

Median reliabilities ranged from 0.05 for vascular surgery to 0.79 for gastroenterology and otolaryngology. Overall, 59% of physicians had cost-profile scores with reliabilities of less than 0.70, a commonly used marker of suboptimal reliability. Using our reliability results, we estimated that 22% of physicians would be misclassified in a two-tiered system.

CONCLUSIONS

Current methods for profiling physicians with respect to costs of services may produce misleading results.

Examining critical health policy issues within and beyond the clinical encounter: patient-provider relationships and help-seeking behaviors

Among notable issues in health care policy and practice over the past 50 years have been those centered on the changing dynamics in clinical encounters, predominantly the relationship between physicians and patients and access to health care. Patient roles have become more active, diverse, long-term, and risk-based, while patient-provider relationships are multifaceted, less paternalistic, and more pivotal to health outcomes. Extensive literatures on help-seeking show how much social influences affect both undertreatment and inappropriate high utilization of health care. The challenge in trying to contain the growth of health care costs is two-fold: developing better ways of defining need for care and promoting better access for those who could benefit most from health care. Both of these strategies need to be considered in the context of addressing racial, ethnic, socioeconomic, and health status disparities. Rebuilding the primary care sector as a sociologically informed strategy and a key component of health care reform may optimize both health care delivery and patient outcomes.

Physical therapists' management of patients in the acute care setting: an observational study

BACKGROUND

Previous literature has not fully described physical therapists' management of patients across diagnoses in the acute care setting or how that management might vary by facility.

OBJECTIVE

The purposes of this study were to describe patient management by physical therapists in the acute care setting and to examine variations in patient management across facilities.

DESIGN

This was an observational study.

METHODS

Fifty clinicians practicing at 3 academic medical centers in the northeastern United States agreed to participate. Over a 2-week period, clinicians completed checklists indicating the details of patient visits. Logistic analyses, controlling for patient age and diagnosis and accounting for clustering of data, were conducted to examine the odds of patients having several categories of examinations, goals, and interventions.

RESULTS

Participants provided 2,364 visits to 896 patients. More than 75% of patients in each facility received examinations, goals, and interventions related to functional ability. Median number of visits per patient, duration of visits, and number of visits in which the patient was not treated varied across facilities. Patients with orthopedic conditions were more likely than those with medical/surgical conditions to receive several types of examinations, goals, and interventions. The odds of patients having examinations, goals, and interventions related to functional abilities were greater in facility 2 than in facility 1.

LIMITATIONS

Limitations include the convenience sample, use of an untested data collection tool, and use of only age and diagnosis to control for case mix.

CONCLUSION

This study of physical therapist practice in 3 acute care facilities suggests that patient management focuses on functional activity. There was no clear pattern of examinations, goals, and interventions related to specific diagnoses. A small degree of variation was found in practice across the facilities.

The elusive connection between health care spending and quality

Richard Cooper has shown a positive association between health care quality and "total spending" at the state level, but he does not appear to understand the limitations of this total spending measure; simply adjusting for median age causes the significant positive correlation to disappear. Cooper also finds that some third factor-we think that it is "social capital"-is the key to explaining health care quality. Cooper may believe that this result challenges three decades of research by the Dartmouth group. Instead, it supports the group's view that improved efficiency-and not more doctors and hospital beds-is central to improving quality.

States with more health care spending have better-quality health care: lessons about Medicare

Based on broad measures of health system quality and performance, states with more total health spending per capita have better-quality care. This fact contrasts with a previous finding that states with higher Medicare spending per enrollee have poorer-quality care. However, quality results from the total funds available and not from Medicare or any single payer. Moreover, Medicare payments are disproportionately high in states that have a disproportionately large social burden and low health care spending overall. These and other vagaries of Medicare spending pose critical challenges to research that depends on Medicare spending to define regional variation in health care.